Category: Data Analytics

In this part 2 of 6 view blog series: In a recent survey conducted by CTI, marketers listed data integration as the number one obstacle to their ability to arrive at a single, trusted and complete 360-degree analytical view of their customers. In his latest video blog, CTI CustomerUniverse Product Director, Mark Janowicz talks about

Marketing professionals are keenly aware that their greatest opportunity and yet their biggest challenge lies in the ability to transform data into meaningful information to provide the right insight at the right time. In this introductory video blog, Mark Janowicz, Product Director for the CTI CustomerUniverse explains how we help marketers overcome the challenges they

I’ve been in the Data Analytics space for a long time and over the years I’ve worked on numerous HR “reporting, dash-boarding, and data warehouse projects.” Actually, I am in the process of wrapping up a 6 month project that integrates analytics into a Workday environment. Just to level set, Workday, is highly regarded as

The Liaison Committee on Medical Education (LCME) accreditation process for medical schools within the United State and Canada is a very intensive and time consuming process. As it should be, given the goal of these schools is to turn out some of the best medical professionals in the world. One could argue that the LCME

The other day a colleague and I were discussing closed loop marketing (CLM) and what it really means in the marketplace. In the end, marketing is trying to capitalize on customer to drive more revenue. An interesting thing happened as we were discussing what enables you to do CLM and how to capitalize on customer,

In today’s competitive and Omni-channel markets, the key to success of each business is understanding its customers. Through a systematic approach of harnessing data, leveraging analytics and knowledge, one can drive effective marketing decisions in a technology-enabled and model-supported interactive decision process. Customer Segmentation We live in a diverse society where customers differ in their

Data analytics is a process, where information is gathered, modeled and interpreted, with the end goal of providing insights and implications for the business decision-making. Data project pipeline To be successful in it, we must approach a data project in a methodical way. There is a sequence of steps—a data project pipeline with four general